[Tut] NumPy polymulx()

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NumPy polymulx()

Code:

numpy.polynomial.polynomial.polymulx(c)

The

Code:

numpy.polymulx

function multiplies the polynomial

Code:

c

with a value

Code:

x

which is the independent variable.

Arguments |
Type |
Description

c |
array_like or poly1d object |
The input polynomials to be multiplied

The following table shows the return value of the function:

|
Type |
Description

[b]Return Value[/b] |
ndarray or poly1d object |
The polynomial resulting from the multiplication of the inputs. If either inputs is a poly1d object, then the output is also a poly1d object. Otherwise, it is a 1D array of polynomial coefficients from highest to lowest degree.

Let’s dive into some examples to show how the function is used in practice:

Examples

Code:

import numpy as np import numpy.polynomial.polynomial as poly print(poly.polymulx([0]) == [0]) print(poly.polymulx([1]) == [0, 1]) for i in range(1, 5): ser = [0]*i + [1] tgt = [0]*(i + 1) + [1] print(poly.polymulx(ser) == tgt) ''' [ True] [ True True] [ True True True] [ True True True True] [ True True True True True] [ True True True True True True] '''

This function is inspired from thisGithub repository.

Any master coder has a “hands-on” mentality with a bias towards action. Try it yourself—play with the function in the following interactive code shell:

https://repl.it/@finxter/polyx?lite=true

Exercise: Change the parameters of your polynomials and print them without the comparisons. Do you understand where they come from?

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